Homework # 1 (Total: 25/25)
Instructions: For this homework, you will be answering questions
associated with Chapters 1 and 2 in the text. Please see the syllabus for
the requirements on homework.
Chapter 1
1. Suppose a researcher is studying the amount o
4/13/16
Week of Apr 14
Multiple comparisons rebooted
Power
1
4/13/16
The
null hypothesis is that the means are all equal
H : = = = L =
0
The
1
2
3
k
alternative hypothesis is that at least one of the means is different
If we
reject H0, we need to fi
3/30/16
Week of Mar 31
Two
sample t - tests
Paired (related) samples
Independent samples
1
3/30/16
Population:
Working with Scores
Sampling distribution of the mean:
Working with Means
Working with samples, but we dont know the population SD
Substitute
4/6/16
Week of Apr 7
1
4/6/16
Recap
The
on the two-sample tests
k-sample between-subjects problem: One-way ANOVA
Intro to multiple comparisons
Two-sample
dependent (paired) t-test
Null (H0): the mean of the population of difference scores is zero.
Alt
Review Exam 1
Chapter 1
Descriptive vs. Inferential Statistics
Sample vs. Population
Parameter vs. Statistic
Random sample
Constant vs. variable
4 levels of measurement
1
Chapter 2
Frequency, relative frequency, & relative
cumulative frequency di
Homework # 4
Instructions: For this homework, you will be answering questions associated with
Chapters 7 and 8 in the text. Please use lined paper and write legibly.
Chapter 7:
1.
Dr. Jones wants to determine if there is any relationship between cigarette
Chapter 7: Correlation
When we have two variables we can ask about
the degree to which they co-vary
is there any relationship between an individuals
score on one variable and his or her score on a
second variable
number of beers consumed and reaction ti
Chapter 10: Probability
Event: an observable outcome
head/tail
club, spade, heart, diamond
Generating Event (Sampling Experiment): any
repeatable process that results in only one
outcome at a time
e.g., flipping a coin, drawing a card from a deck
1
Chapter 9: Interpretive Aspects of
Correlation and Regression
Number of factors influence size of r
Range of Talent (variability) in X and Y values
(restriction of range)
Discontinuity of distributions
Heterogeneity of samples (pooling
observations)
1
2/3/16
Week of Feb 4
Last
week Descriptives
Central tendency
Variability
Shape / Distributions
This week- Distributions cont
shape and central tendency: a quick review
the normal distribution
the z-score, percentile ranks
1
2/3/16
Skewness
Value of
1/20/16
Week of Jan 21
Email: changd@hku.hk
(please include course code in subject line!)
Office: JCT 6.58
Office hours: By appointment
1
1/20/16
Statistics help us use data to make decisions.
We also learn how to best represent information
200 countri
PSYC1004 Assignment 1
This homework assignment gives you some practice in the basic hand computations of the
descriptive measures learned in lectures and acquaints you with some of the basic data
summary tools in SPSS.
Deadline: 10:30 am on 18 Feb 2016.
O
2/24/16
Week of Feb 25
Sampling & the Central Limit Theorem
The Confidence Interval
1
2/24/16
Generalize to a larger population
Reduces cost of research (e.g. political polls)
Population inferences can be made.
2
2/24/16
.by selecting a representative
Homework # 3 (Total: 25/25)
Instructions: For this homework, you will be answering questions associated with
Chapters 6 in the text. Please use lined paper and write legibly.
Chapter 6:
1.
In a normal distribution, what proportion of cases falls between:
PSYC1004 Assignment 2
This homework assignment gives you some practice in the using the z-score and the zdistribution, the simple correlation, and the simple regression.
Deadline: 10:30 am on 3 March 2016.
Both a hardcopy and softcopy are required for thi
THE UNIVERSITY OF HONG KONG
FACULTY OF SOCIAL SCIENCES
Social Innovation Internship (SI)
Term-time 2016-2017
Flow of Term-time Internship
Submission of online applications
(June 13, 2016 12:00 noon, June 23, 2016)
Applicants receive acknowledgement of
Int
Tutorial
Topics
Ka Wais
class
Tommys
class
Cynthias
class
(Mon)
(Tue)
(Wed)
1
Intro to SPSS; Tables and Graphs
Sep 12
Sept 13
Sept 14
2
SPSS: CT and Variability, Z-score and Normal curve
Sep 19
Sept 20
Sept 21
No Tutorial
Sep 26
Sept 27
Sept 28
SPSS: Corr
Week of Mar 3
Intro to hypothesis testing
Formulating your tests:
The null and the alternative hypotheses
Potential pitfalls/errors
Type I and II errors
Descriptive statistics: Simply describe the set of data at hand.
Inferential statistics: Use st
The Economist
Artificial intelligence
The return of the machinery question
After many false starts, artificial
intelligence has taken off. Will it
cause mass unemployment or even
destroy mankind? History can
provide some helpful clues, says Tom
Standage
J
PSYC 1001
INTRO TO PSYCHOLOGY
DR DORITA CHANG
WEEK OF OCT 11 2016
WEEK 6 ROADMAP
Learning
Non-associative, vs Associative vs Observational learning
Memory
Types, Organization
In the Brain
When (and why) it goes wrong
LEARNING
Learning
relatively p
THIS WEEK HISTORY AND
DIAGNOSIS
PRE-CLASS ACTIVITY:
WATCH: BBCS A HISTORY
OF MADNESS AND PLS
WRITE ABOUT 50 WORDS
ABOUT THE VIDEO PRINT IT
OUT AND BRING IT TO CLASS
https:/ww
w.youtube.
com/watc
h?v=jdKDH
mfAdOg
1
CCHU 9022: JOURNEY INTO MADNESS:
CONCEPTI
PSYC 1001
INTRO TO PSYCHOLOGY
DR DORITA CHANG
WEEK OF OCT 4 2016
WEEK 5 ROADMAP
Motivation
What is it?
Motivational needs (e.g., hunger, arousal,
affiliation)
Motivational priorities how do we decide?
Emotion
Classic Theories
(Brief) Biology
How do
CCHU 9022: JOURNEY INTO MADNESS:
CONCEPTIONS OF MENTAL HEALTH
AND MENTAL ILLNESS
Lecture 3:
Psychological explanations of
mental illness: The behavioural
and cognitive perspectives.
Dr. Paul W.C. Wong ,
D . P S YC . ( C L I N I C A L ) , R E G . C L I N .
THE
1
CCHU 9022: JOURNEY INTO MADNESS:
CONCEPTIONS OF MENTAL HEALTH AND MENTAL
ILLNESS
Lecture 1:
Madness: How is it
defined?
Dr. Paul W.C. Wong ,
D.PSYC.(CLINICAL), REG.CLIN.PSYC (AUSTRALIA).,
RCP(HKPS), AFHKPSS, MAPS
Associate Professor,
Depar tment of
PSYCHOLOGICAL SCIENCE
Research Article
PROCRASTINATION, DEADLINES, AND PERFORMANCE:
Self-Control by Precommitment
Dan Ariely1 and Klaus Wertenbroch2
1
Massachusetts Institute of Technology and 2INSEAD, Fontainebleau, France
AbstractProcrastination is all
Price database
Users
Select destination
and type of cards
Price
Select tickets
Display the price
Issued ticked
Make payment
Formulate weekly travel statistics
Issue the train tickets and
calculate for change if
appropriate
Travel statistics
Insert tickets
Flight
details
Check and process
flight details
Client
Flight
booking file
Clients
details
Requested
air tickets
Give personal details, contact
details, payment details
Person
al
Personal
details
Check the availability
of requested air tickets
Contac
t
de
INTRODUCTION TO
MENTAL DISORDERS
Harry Yi-Jui Wu
Medical Ethics and Humanities Unit
Li Ka Shing Faculty of Medicine
Disease v.s. Disorder
Disease
a definite pathological process
having a characteristic set of signs
and symptoms. It may affect the
whole b